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09/28/2022
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
Small lesions in magnetic resonance imaging (MRI) images are crucial for...
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07/19/2022
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation
Causal Inference has wide applications in various areas such as E-commer...
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11/05/2021
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Model quantization has emerged as an indispensable technique to accelera...
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05/04/2021
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
As an effective technique to achieve the implementation of deep neural n...
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03/09/2021
MWQ: Multiscale Wavelet Quantized Neural Networks
Model quantization can reduce the model size and computational latency, ...
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03/04/2021
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization
Since model quantization helps to reduce the model size and computation ...
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05/31/2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1
The training of deep neural networks (DNNs) requires intensive resources...
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10/07/2018
